Instructions to use WindstormLabs/translate-de-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-mt with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-de-mt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-mt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f5897b900598619db5e5a47b69b1ff373cd3aa1ab31140e9c79d5d6271acf45
- Size of remote file:
- 829 kB
- SHA256:
- 1a6dfd7695245a96dc614614d2f2db88532c8c3f7796087c98175aceccf67532
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